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. 2022 May 27;17(5):e0269005. doi: 10.1371/journal.pone.0269005

Table 3. Binary logistic regression model for the outcome of hospitalisation.

Measures COVID-19 Viral controls Bacterial controls
n = 191 n = 227 n = 96
Univariable Multivariable Univariable Multivariable Univariable Multivariable
OR (95% CI) p-value OR (95% CI) p-value OR (95% CI) p-value OR (95% CI) p-value OR (95% CI) p-value OR (95% CI) p-value
IL-6 31.836 (11.31–89.609) <0.001 3.931 (0.877–17.627) 0.074 5.432 (3.004–9.822) <0.001 5.432 (3.004–9.822) <0.001 4.170 (1.348–12.902) 0.013 4.170 (1.348–12.902) 0.013
CRP 14.528 (6.602–31.971) <0.001 6.763 (2.261–20.227) <0.001 3.229 (1.978–5.271) <0.001 -   2.628 (1.003–6.885) 0.049 -  
PCT 25.841 (7.697–86.753) <0.001 -   2.153 (1.226–3.784) 0.008 -   3.183 (0.921–11.008) 0.067 -  
Ferritin 12.043 (4.709–30.796) <0.001 -   0.989 (0.455–2.151) 0.978 -   1.286 (0.316–5.231) 0.726 -  
Leukocytes 5.984 (0.978–36.611) 0.053 -   17.835 (1.605–198.189) 0.019 -   1.168 (0.085–16.007) 0.907 -  

p-values for comparison of OR were calculated using Fisher’s exact test

values were logarithmized to approach a normal distribution, values for the multivariable model were selected using a backwards selection process

OR = odds ratio, CI = confidence interval, IL-6 = interleukin-6, CRP = c-reactive protein, PCT = procalcitonin.